{"id":"W6955422449","doi":"10.57907/mirri/avbdxt","title":"MIRRI0045531","year":2022,"lang":"en","type":"dataset","venue":"Entrepôt pour orphelin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Organism; Taxon; Population; Selection (genetic algorithm)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001586555,0.003208352,0.002933104,0.00628891,0.002232709,0.005246113,0.004636183,0.004452977,0.2896688],"category_scores_gemma":[0.009556168,0.001486988,0.001452337,0.01172771,0.0008230417,0.003111819,0.003739955,0.002513847,0.414988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588404,"about_ca_system_score_gemma":0.004908083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03175852,"about_ca_topic_score_gemma":0.05399447,"domain_scores_codex":[0.9981583,0.0002688027,0.0001829846,0.0006622192,0.0003985085,0.000329143],"domain_scores_gemma":[0.9959902,0.001134749,0.0003647073,0.0009957684,0.001056125,0.0004583656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006877387,0.00001348564,0.0003763151,0.0007628278,0.00002093224,0.00001311194,0.00003067029,0.00009876717,0.0001605953,0.0004384587,0.9968442,0.001171973],"study_design_scores_gemma":[0.0002116965,0.00001803703,0.001981492,0.0002816294,0.00003110394,0.00003431082,0.00006509026,0.0001214528,0.0002695432,0.0008255025,0.9961305,0.00002951252],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002759517,0.00003877373,0.00003097054,0.00003256943,0.00001396266,0.000004406814,0.9989752,0.0002754778,0.0006011493],"genre_scores_gemma":[0.0001239517,0.00004133764,0.0001619523,0.0000433259,0.000005589136,0.00003169643,0.9988226,0.0001232022,0.0006462624],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7103312,"threshold_uncertainty_score":0.9690388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0171976877902591,"score_gpt":0.2678402794725208,"score_spread":0.2506425916822617,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}